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cs.LG2025
A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
Jinhao Li, Hao Wang
Accurate electric vehicle (EV) charging demand forecasting is essential for stable grid operation and proactive EV participation in electricity market. Existing forecasting methods…
cs.LG2025
Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
Xinyu Liang, Hao Wang
The scarcity of high-quality residential load data can pose obstacles for decarbonizing the residential sector as well as effective grid planning and operation. The above challenge…
cs.LG2024
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
Xinyu Liang, Ziheng Wang, Hao Wang
Generating synthetic residential load data that can accurately represent actual electricity consumption patterns is crucial for effective power system planning and operation. The n…